Simplicial complexes are the building blocks of algebraic topology, providing a discrete way to model topological spaces. They're made up of simplices - points, lines, triangles, and higher-dimensional analogs - connected in specific ways to create complex structures.

These structures allow us to study the properties of spaces using combinatorial methods. By analyzing the relationships between simplices, we can uncover important topological features like holes, connectivity, and orientability, laying the groundwork for more advanced concepts in algebraic topology.

Definition of simplicial complexes

  • Simplicial complexes are combinatorial objects used to model topological spaces in algebraic topology
  • They provide a discrete and combinatorial approach to studying the properties and invariants of topological spaces
  • Simplicial complexes are built from simplices, which are the fundamental building blocks

Simplices as building blocks

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  • A is a generalization of the notion of a triangle or tetrahedron to arbitrary dimensions
  • A 0-simplex is a point, a 1-simplex is a line segment, a 2-simplex is a triangle, and a 3-simplex is a tetrahedron
  • Higher-dimensional simplices are defined analogously, with an n-simplex being determined by n+1 vertices

Conditions for simplicial complexes

  • A simplicial complex is a collection of simplices that satisfies certain conditions to ensure a well-defined topological structure
  • Every of a simplex in the complex must also be in the complex (closure property)
  • The intersection of any two simplices in the complex must be either empty or a common face of both simplices (intersection property)

Construction of simplicial complexes

  • Simplicial complexes can be constructed in different ways, depending on the context and the desired properties
  • Two common approaches are abstract simplicial complexes and geometric realization

Abstract simplicial complexes

  • An is defined solely by specifying the vertices and the simplices as subsets of vertices
  • It captures the combinatorial structure of the complex without specifying the geometric positions of the vertices
  • Abstract simplicial complexes are useful for studying the topological properties and invariants of the complex

Geometric realization

  • The geometric realization of a simplicial complex is obtained by assigning specific geometric positions to the vertices in a Euclidean space
  • The simplices are then realized as the convex hulls of their vertices, forming a geometric object
  • Geometric realization allows for a more concrete visualization and study of the simplicial complex

Simplicial maps

  • Simplicial maps are the morphisms between simplicial complexes, preserving the structure and compatibility of the complexes

Definition and properties

  • A f:KLf: K \to L between simplicial complexes KK and LL is a function that maps vertices of KK to vertices of LL
  • The map ff must satisfy the condition that if {v0,,vn}\{v_0, \ldots, v_n\} is a simplex in KK, then {f(v0),,f(vn)}\{f(v_0), \ldots, f(v_n)\} is a simplex in LL
  • Simplicial maps are continuous with respect to the geometric realizations of the complexes

Simplicial approximation theorem

  • The states that any continuous map between the geometric realizations of two simplicial complexes can be approximated by a simplicial map
  • This theorem establishes a connection between continuous maps and simplicial maps
  • It allows for the study of topological properties using the combinatorial structure of simplicial complexes

Orientation of simplicial complexes

  • Orienting a simplicial complex assigns a consistent direction or ordering to the simplices, enabling the study of orientability and related properties

Ordering of vertices

  • An ordering of the vertices of a simplex determines its orientation
  • For a simplex {v0,,vn}\{v_0, \ldots, v_n\}, an ordering (v0,,vn)(v_0, \ldots, v_n) or (vn,,v0)(v_n, \ldots, v_0) defines an orientation
  • The orientation changes sign if the ordering is an odd permutation of the vertices

Induced orientation on simplices

  • The orientation of a simplex induces an orientation on its faces
  • The induced orientation on a face is determined by the order in which the vertices of the face appear in the ordering of the simplex
  • Consistent orientation across simplices allows for the study of orientability and related invariants

Simplicial homology

  • is a powerful tool in algebraic topology that captures the "holes" and connectivity of a simplicial complex
  • It associates algebraic objects, called , to a simplicial complex, which provide information about its topological features

Chain complexes and boundary maps

  • A is a sequence of abelian groups (called chain groups) connected by boundary maps
  • The n-th chain group Cn(K)C_n(K) is generated by the n-simplices of the simplicial complex KK
  • The n:Cn(K)Cn1(K)\partial_n: C_n(K) \to C_{n-1}(K) captures the boundary of each n-simplex, with appropriate signs based on orientation

Homology groups of simplicial complexes

  • The homology groups Hn(K)H_n(K) of a simplicial complex KK are defined as the quotient groups ker(n)/im(n+1)\ker(\partial_n) / \operatorname{im}(\partial_{n+1})
  • Elements of Hn(K)H_n(K) are equivalence classes of n-cycles (elements in the kernel of n\partial_n) modulo n-boundaries (elements in the image of n+1\partial_{n+1})
  • The rank of Hn(K)H_n(K) counts the number of "n-dimensional holes" in the complex KK

Invariance under subdivision

  • Simplicial homology is invariant under subdivision of the simplicial complex
  • Subdividing a simplicial complex (by adding new vertices and simplices) does not change its homology groups
  • This property allows for the computation of homology using a convenient subdivision of the complex

Simplicial cohomology

  • is the dual notion to simplicial homology, obtained by considering cochains instead of chains
  • It associates algebraic objects called to a simplicial complex, capturing additional algebraic structures

Cochain complexes and coboundary maps

  • A is a sequence of abelian groups (called cochain groups) connected by coboundary maps
  • The n-th cochain group Cn(K)C^n(K) is the dual of the n-th chain group, consisting of homomorphisms from Cn(K)C_n(K) to a coefficient group
  • The δn:Cn(K)Cn+1(K)\delta^n: C^n(K) \to C^{n+1}(K) is the dual of the boundary map, capturing the coboundary of each n-cochain

Cohomology groups of simplicial complexes

  • The cohomology groups Hn(K)H^n(K) of a simplicial complex KK are defined as the quotient groups ker(δn)/im(δn1)\ker(\delta^n) / \operatorname{im}(\delta^{n-1})
  • Elements of Hn(K)H^n(K) are equivalence classes of n-cocycles (elements in the kernel of δn\delta^n) modulo n-coboundaries (elements in the image of δn1\delta^{n-1})
  • Cohomology groups provide additional algebraic information about the simplicial complex

Cup product structure

  • The cup product is an additional algebraic structure on cohomology groups, making them into a graded ring
  • It is a bilinear map :Hp(K)×Hq(K)Hp+q(K)\smile: H^p(K) \times H^q(K) \to H^{p+q}(K) that combines cohomology classes
  • The cup product captures the multiplicative structure of cohomology and provides insights into the ring structure of the complex

Mayer-Vietoris sequence

  • The is a powerful tool for computing the homology groups of a simplicial complex by decomposing it into simpler pieces
  • It relates the homology of a complex to the homology of its subspaces and their intersection

Statement for simplicial complexes

  • Let KK be a simplicial complex, and let AA and BB be subcomplexes such that K=ABK = A \cup B
  • The Mayer-Vietoris sequence is a long exact sequence of homology groups: Hn(AB)Hn(A)Hn(B)Hn(K)Hn1(AB)\cdots \to H_n(A \cap B) \to H_n(A) \oplus H_n(B) \to H_n(K) \to H_{n-1}(A \cap B) \to \cdots
  • The maps in the sequence are induced by inclusions and connecting homomorphisms

Computations using Mayer-Vietoris

  • The Mayer-Vietoris sequence allows for the computation of homology groups by breaking down a complex into simpler pieces
  • By choosing suitable subcomplexes AA and BB, one can often determine the homology of KK from the homology of AA, BB, and their intersection
  • The long exact sequence provides a systematic way to relate the homology groups and perform computations

Simplicial approximation

  • is a technique for approximating continuous maps between topological spaces by simplicial maps between their simplicial approximations

Continuous maps and simplicial approximation

  • Given a continuous map f:KLf: |K| \to |L| between the geometric realizations of simplicial complexes KK and LL, a simplicial approximation is a simplicial map g:KLg: K' \to L that approximates ff
  • The simplicial complex KK' is a subdivision of KK, obtained by adding new vertices and simplices to refine the structure
  • The simplicial map gg is chosen to be "close" to ff in a suitable sense, often by mapping vertices of KK' to nearby vertices of LL

Applications in algebraic topology

  • Simplicial approximation is a fundamental tool in algebraic topology, allowing for the study of continuous maps using simplicial techniques
  • It provides a way to transfer problems from the continuous setting to the discrete and combinatorial setting of simplicial complexes
  • Simplicial approximation is used in various constructions and proofs, such as the proof of the simplicial approximation theorem and the definition of simplicial homotopy

CW complexes vs simplicial complexes

  • CW complexes and simplicial complexes are two important classes of topological spaces used in algebraic topology, each with its own strengths and limitations

Comparison of structures

  • Simplicial complexes are built from simplices glued together along their faces, forming a rigid combinatorial structure
  • CW complexes are built inductively by attaching cells of increasing dimension, allowing for more flexible constructions
  • CW complexes can have cells of different dimensions attached in a less restrictive manner compared to simplicial complexes

Advantages and limitations

  • Simplicial complexes have a simple and combinatorial structure, making them well-suited for computational purposes and explicit calculations
  • CW complexes provide a more general and flexible framework, allowing for a wider range of topological spaces to be modeled
  • However, the increased flexibility of CW complexes can sometimes make computations and explicit descriptions more challenging compared to simplicial complexes

Simplicial sets

  • are a generalization of simplicial complexes that allow for a more flexible and categorical treatment of simplicial objects

Definition and examples

  • A simplicial set XX is a collection of sets XnX_n for each non-negative integer nn, together with face maps di:XnXn1d_i: X_n \to X_{n-1} and degeneracy maps si:XnXn+1s_i: X_n \to X_{n+1} satisfying certain compatibility conditions
  • The elements of XnX_n are called n-simplices, and the face and degeneracy maps encode the relationships between simplices of different dimensions
  • Examples of simplicial sets include the standard n-simplex, the nerve of a category, and the singular simplicial set of a

Relationship to simplicial complexes

  • Simplicial complexes can be viewed as a special case of simplicial sets, where the simplicial set satisfies additional conditions
  • Every simplicial complex gives rise to a simplicial set by taking the set of n-simplices as XnX_n and defining the face and degeneracy maps accordingly
  • However, not every simplicial set arises from a simplicial complex, as simplicial sets allow for more general and flexible structures

Key Terms to Review (31)

Abstract simplicial complex: An abstract simplicial complex is a mathematical structure that generalizes the notion of a simplicial complex, consisting of a set of vertices along with a collection of non-empty subsets, called simplices. Each simplex is formed by combining vertices, and the set must satisfy certain conditions: if a simplex is included, all of its subsets must also be included. This structure is essential for studying topological spaces and helps in defining higher-dimensional analogs of geometric shapes.
Borsuk-Ulam Theorem: The Borsuk-Ulam Theorem states that any continuous function mapping an n-dimensional sphere to Euclidean n-space must have at least one pair of antipodal points that are mapped to the same point. This theorem reveals interesting properties about continuous functions and is significant in various fields including topology and geometry, particularly when considering simplicial complexes and the structure of homology groups.
Boundary Map: A boundary map is a function that assigns to each simplex in a simplicial complex a formal sum of its faces, essentially describing how the simplex connects to its lower-dimensional counterparts. It plays a crucial role in defining the algebraic structure of simplicial complexes, allowing us to analyze their topology by examining how these simplices combine and interact with one another.
Cech Cohomology: Cech cohomology is a type of cohomology theory that uses open covers of a topological space to define cohomological classes, providing a way to study the global properties of spaces through local data. It connects seamlessly with various concepts in algebraic topology, such as simplicial complexes and exact sequences, allowing mathematicians to analyze the relationships between different topological spaces and their features.
Chain Complex: A chain complex is a sequence of abelian groups or modules connected by homomorphisms, where the composition of consecutive homomorphisms is zero. This structure helps in defining homology theories, allowing mathematicians to analyze topological spaces and their features. Chain complexes serve as the foundation for various homological concepts, revealing properties about simplicial complexes, relative homology groups, and important theorems like excision and Poincaré duality.
Coboundary map: A coboundary map is a crucial component in the context of cohomology theory, which assigns a chain complex to a topological space. Specifically, it is a homomorphism that maps k-cochains to (k+1)-cochains, reflecting how local information about the space can be connected to its global properties. This map is essential for defining the cohomology groups, as it helps establish relationships between different degrees of cochains.
Cochain Complex: A cochain complex is a sequence of abelian groups or modules connected by homomorphisms, where the composition of consecutive homomorphisms is zero. It serves as a crucial structure in cohomology theory, enabling the computation of cohomology groups that capture topological features of spaces. The relationship between cochain complexes and simplicial complexes highlights how geometric data can translate into algebraic invariants.
Cohomology Groups: Cohomology groups are algebraic structures that assign a sequence of abelian groups or modules to a topological space, providing a way to classify the space's shape and features. These groups arise from the study of cochains, which are functions defined on the simplices of a given space, allowing for insights into the structure and properties of both spaces and groups through their interactions.
Cone: In mathematics, a cone is a three-dimensional geometric shape that tapers smoothly from a flat base to a single point called the apex. Cones can be right or oblique, depending on the orientation of the apex in relation to the base. In the context of simplicial complexes, the concept of a cone is essential for constructing new topological spaces and understanding their properties.
Contractibility: Contractibility is a property of a topological space that indicates it can be continuously shrunk to a single point without tearing or gluing. This concept is essential in algebraic topology, particularly when considering simplicial complexes, as it helps in determining the fundamental properties and equivalence of spaces through continuous mappings.
Cup Product Structure: The cup product structure is an operation in cohomology that combines cohomology classes to produce new cohomology classes, enhancing our understanding of the topological properties of a space. This operation is associative and graded commutative, allowing it to define a ring structure on the cohomology groups. This concept is essential for exploring how different topological features interact and relate to one another.
CW complex: A CW complex is a type of topological space constructed from basic building blocks called cells, which are glued together in a specific way. This structure allows for a versatile approach to studying topology, particularly in cohomology theory, by enabling the use of simplicial complexes, the long exact sequence of a pair, excision theorem applications, and relative cohomology groups.
Face: In the context of simplicial complexes, a face refers to any of the constituent elements that make up the complex, specifically a simplex. A face can be thought of as a lower-dimensional component, such as a vertex (0-simplex), an edge (1-simplex), or a higher-dimensional analogue, depending on the context. Each face contributes to the overall structure of the complex and helps define its geometric and topological properties.
Face Map: A face map is a function that describes how to 'forget' a vertex in a simplex while retaining the structure of the remaining vertices. It essentially provides a way to relate higher-dimensional simplices to their lower-dimensional faces, facilitating a deeper understanding of the relationships within a simplicial complex. Face maps help in constructing chains and cochains, allowing mathematicians to work with homology and cohomology theories effectively.
Finite Simplicial Complex: A finite simplicial complex is a collection of simplices that is both finite and satisfies certain combinatorial properties, including closure under taking faces and the intersection of any two simplices being a face of both. These complexes serve as the foundational building blocks in algebraic topology, allowing for the study of topological spaces through discrete geometric structures.
Henri Poincaré: Henri Poincaré was a French mathematician, theoretical physicist, and philosopher of science, known for his foundational contributions to topology, dynamical systems, and the philosophy of mathematics. His work laid important groundwork for the development of modern topology and homology theory, influencing how mathematicians understand spaces and their properties.
Homology groups: Homology groups are algebraic structures that provide a way to associate a sequence of abelian groups or modules with a topological space, helping to classify its shape and features. They arise from the study of simplicial complexes and simplicial homology, where they give information about the number of holes in various dimensions. This concept extends to important results like the Excision theorem, which shows how homology can behave well under certain conditions, and it connects to the Lefschetz fixed-point theorem, which relates homology with fixed points of continuous mappings.
Homotopy equivalence: Homotopy equivalence is a relationship between two topological spaces that indicates they can be transformed into one another through continuous deformations, meaning they share the same 'shape' in a topological sense. This concept is crucial because if two spaces are homotopy equivalent, they have the same homological properties, leading to the same homology groups and implying that their topological features can be analyzed through the lens of simplicial complexes and homology theory.
John Milnor: John Milnor is a prominent American mathematician known for his contributions to differential topology, particularly in the development of concepts like exotic spheres and Morse theory. His work has significantly influenced various fields such as topology, geometry, and algebraic topology, connecting foundational ideas to more advanced topics in these areas.
Join: In the context of simplicial complexes, a join is a construction that combines two simplicial complexes into a new one by taking the Cartesian product of their vertex sets and forming new simplices from pairs of simplices from each complex. This operation not only retains the structure of the original complexes but also enriches the new complex by adding dimensions, allowing for the exploration of higher-dimensional properties and relationships.
Mayer-Vietoris sequence: The Mayer-Vietoris sequence is a powerful tool in algebraic topology that provides a way to compute the homology and cohomology groups of a topological space by decomposing it into simpler pieces. It connects the homology and cohomology of two overlapping subspaces with that of their union, forming a long exact sequence that highlights the relationships between these spaces.
Simplex: A simplex is a generalization of a triangle or tetrahedron to arbitrary dimensions, serving as the building block of simplicial complexes. It can be defined as the convex hull of a set of points in a Euclidean space, where these points are affinely independent. Each simplex is characterized by its vertices, edges, and higher-dimensional faces, allowing for the construction and analysis of more complex geometric structures.
Simplicial Approximation: Simplicial approximation is a method used in algebraic topology to approximate continuous maps between topological spaces by piecewise linear maps. This technique is particularly useful because it allows the study of topological properties through combinatorial means, often involving simplicial complexes, which are built from vertices, edges, and higher-dimensional faces. In addition, simplicial approximation plays a role in fixed-point theorems by helping to establish conditions under which certain mappings can be analyzed within the framework of simplicial complexes.
Simplicial Approximation Theorem: The Simplicial Approximation Theorem states that any continuous map from a simplicial complex to a topological space can be approximated by a simplicial map. This theorem plays a critical role in algebraic topology, as it allows for the study of continuous functions using the more manageable structure of simplicial complexes, which are built from simple geometric pieces called simplices.
Simplicial Cohomology: Simplicial cohomology is a mathematical tool that assigns algebraic invariants to a simplicial complex, capturing topological features of the underlying space. It involves the use of simplicial complexes, which are built from simple geometric objects called simplices, and provides a way to compute cohomology groups that reveal information about holes and connectivity in the space. This concept is closely related to various cohomological theories, including Alexandrov-Čech and Čech cohomology, which generalize the ideas of simplicial cohomology to broader contexts.
Simplicial Homology: Simplicial homology is a mathematical framework used to study topological spaces by associating a sequence of algebraic objects, known as homology groups, to simplicial complexes. This concept connects the geometric structure of simplicial complexes with algebraic properties, allowing us to classify and understand their features, such as connectivity and holes. It serves as a powerful tool in algebraic topology for analyzing the shape and features of spaces.
Simplicial Map: A simplicial map is a function between two simplicial complexes that preserves the structure of the complexes. This means that it maps vertices to vertices, edges to edges, and higher-dimensional simplices to higher-dimensional simplices in a way that maintains the relationships and connections within the complexes. Simplicial maps are crucial for understanding how different simplicial complexes relate to each other and for constructing new complexes from existing ones.
Simplicial Sets: Simplicial sets are a combinatorial structure used in algebraic topology, consisting of sets of simplices (points, line segments, triangles, and their higher-dimensional counterparts) that adhere to specific face and degeneracy relations. They provide a way to systematically represent topological spaces using discrete pieces, making it easier to study their properties and relationships. By connecting simplicial sets to simplicial complexes, we can explore how these structures can be used to encode the topology of spaces in a more manageable form.
Suspension: Suspension is a topological construction that takes a space and stretches it into a higher-dimensional space by collapsing its boundaries. This operation transforms a given space into a new one, often revealing deeper properties and relationships between different spaces. In the context of simplicial complexes, the suspension process helps to illustrate how different structures can be interrelated and how their topological characteristics change when manipulated.
Topological Space: A topological space is a set of points, along with a collection of open sets that satisfy certain axioms, allowing for the formal definition of concepts like convergence, continuity, and compactness. This structure serves as a foundation for various branches of mathematics, enabling the exploration of spatial properties without relying on specific distances. The ideas in topology are crucial for understanding more complex constructs, such as simplicial complexes, mappings between spaces, and duality theories.
Vertex: A vertex is a fundamental building block of a simplicial complex, representing a single point in space. In this context, vertices serve as the corner points where edges meet to form higher-dimensional shapes like edges and faces. They are crucial for understanding the structure and connectivity of simplicial complexes, as they help define the relationships between various geometric elements.
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